Job DescriptionSOSi is seeking a highly skilled
Data Scientist to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in
Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources.
The ideal candidate will have a background in AI/ML model development and have experience in Python programming, handling SQL databases, and working in command line interfaces. You will leverage scientific techniques to transform petabyte-scale data into insightful data products to enable data-driven decisions. You will perform using Scrumban techniques and be embedded with end users.
The team will work with technologies including:
- Open source, commercial, and government software packages such as Docker, Python, Jupyter Notebooks, PostgreSQL, and other tools.
- Leverage GitOps patterns and CI/CD with tools like GitLab and GitHub.
Essential Job Duties- Develop and deploy data science solutions leveraging Python or similar languages.
- Utilize Linux for development of data processing and model deployment.
- Collaborate with data engineers to improve data colleciton, quality, and access.
- Prioritize tasks efficiently and adapt solutions to meet project requirements.
- Document processes and outcomes for transparency and future reference.
- Write clean, testable, maintainable code in Python and other languages.
Qualifications- Active TS/SCI.
- Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field.
- A minimum of four (4) years of experience as a Data Scientist/Engineer or advanced analytical role
- Programming knowledge in Python or similar language.
- Experience working with SQL and NoSQL databases.
- Experience with both Linux and Windows operating systems.
- Knowledge of CI/CD and Agile methodologies.
- Understanding of software design and system integration.
Additional InformationWork Environment- Office setting with a combination of desk work and meetings.
